TY  - CONF
PB  - Institute of Electrical and Electronics Engineers Inc.
SN  - 9781538672693
Y1  - 2018///
A1  - Ibrahim, A.R.
A1  - Nik Ibrahim, N.H.
A1  - Harun, A.N.
A1  - Mohd Kassim, M.R.
A1  - Kamaruddin, S.E.
A1  - Meng, L.K.
A1  - Hui, C.J.
A1  - Witjaksono, G.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059753951&doi=10.1109%2fICIAS.2018.8540562&partnerID=40&md5=6a5aef005d16fa71d112caaa842fc65a
AV  - none
TI  - Automated Monitoring and LoRaWAN Control Mechanism for Swiftlet Bird House
ID  - scholars9663
KW  - Atmospheric humidity; Cultivation; Houses; Oxygen; Temperature; Wireless sensor networks
KW  -  Automated monitoring; Control mechanism; LoRa; Research efforts; Southeast Asia; Swiftlet Farming; Video analytics; Wireless sensor
KW  -  Birds
N1  - cited By 3; Conference of 7th International Conference on Intelligent and Advanced System, ICIAS 2018 ; Conference Date: 13 August 2018 Through 14 August 2018; Conference Code:143005
N2  - Farmers in Malaysia are moving into edible swiftlet bird nest cultivation simply because it's another potential growing industry with high income in South East Asia. The biggest challenge in this industry is how to simulate the swiftlet's habitat inside the bird house to attract more birds. The suitability of the environment especially inside these houses are largely unknown due to very little research effort in this new area. This paper presents how wireless sensor networks (WSN) such as LoRa and video analytics techniques are utilized to simulate a conducive environment for the birds to stay in this artificial bird house. The wireless sensors are installed in the bird houses to collect humidity, temperature and oxygen data. With the combination of above data plus the number of birds entering and leaving the bird nest will be used to simulate an optimum environment inside the bird house. The bird counting algorithms developed throughout this project shows an accuracy of 92.5. © 2018 IEEE.
ER  -